Small Celestial Body Image Restoration Based on Spectrum Characteristics

DOI

10.2991/wartia-16.2016.332How to use a DOI?

Keywords

spectral characteristics, image restoration, NSCT, minimum amplitude distance.

Abstract

To remove the blur of the image from optical navigation camera, a image restoration method based on spectrum characteristics is proposed. In this method, image denoising pretreatment is first implemented by the NSCT filter. Then, to obtain the minimum amplitude distance, the paper optimizes the image spectrum characteristic by using the simulated annealing algorithm. And then the minimum amplitude distance can be obtained. There the point spread function is established. Finally, blurred image is recovered by the Lucy – Richardson algorithm. The recovery quality is evaluated by the Laplace gradient and the average gray level gradient. The simulation results demonstrate that the proposed method in the paper improves the quality of the restored small celestial body image, and the visual effect is also very ideal.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tianyuan Tao
AU  - Zhiwei Kang
AU  - Jin Liu
PY  - 2016/05
DA  - 2016/05
TI  - Small Celestial Body Image Restoration Based on Spectrum Characteristics
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1665
EP  - 1669
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.332
DO  - 10.2991/wartia-16.2016.332
ID  - Tao2016/05
ER  -